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Saarland University

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Fully Funded PhD in Machine Learning and HCI for Sports Technology at Saarland Informatics Campus Saarland Informatics Campus in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 14, 2026

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Country

Germany

University

Saarland University

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Keywords

Computer Science
Sports Science
Psychology
Biomedical Engineering
Information Technology
Human-computer Interaction
Python Programming
Wearable Technology
ML
Machine learning

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About this position

Fully funded PhD opportunity in Machine Learning and Human-Computer Interaction at the Saarland Informatics Campus in Saarbrücken, Germany. The position is part of the ASPIRE project and involves collaboration with the University of Twente (Netherlands).

The research focus is on building interpretable ML models that can “listen” to how athletes feel, combining subjective experience with physiological and biomechanical data for sports technology and wearables applications.

Eligibility highlights include a Master’s degree in Computer Science or Data Science, strong Python and backend/API skills, an ML background, interest in HCI and wearables, and fluent English.

Funding and conditions: E13 TV-L, full-time, 3-year contract, structured route to a doctoral degree (Dr.-Ing. / PhD), with publication opportunities and international collaboration. The post also mentions JobRad and flexible/hybrid work.

Application deadline: 14 Aug 2026. Start date: 1 Nov 2026. Apply via the linked PDF and email the contact person with reference W2896.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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